User Motivations for Tweeting Research Articles: A Content Analysis Approach

被引:16
作者
Na, Jin-Cheon [1 ]
机构
[1] Nanyang Technol Univ, Wee Kim Wee Sch Commun & Informat, Singapore 639798, Singapore
来源
DIGITAL LIBRARIES: PROVIDING QUALITY INFORMATION | 2015年 / 9469卷
关键词
Twitter; User motivations; Scholarly communication; Altmetrics; Psychology; Content analysis;
D O I
10.1007/978-3-319-27974-9_20
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Nowadays Twitter is used to disseminate scientific findings to the general public, and how often research articles are tweeted is a major metric in altmetrics. So it is important to understand tweet authors' citation motivations and attitudes (or sentiments) towards the articles they cite. A content analysis approach was used to analyze 2,016 English tweets citing academic papers in the field of psychology. The results showed that most tweets (52.88%) cited articles to summarize the scientific findings of the studies. 11.81% of the tweets contained only the titles and URLs of the articles, and 19.05% of the tweets were retweets. Most tweeters held a neutral attitude towards the articles they tweeted, and only 5.15% showed negative feeling. In summary, most of the tweets do not convey in-depth critical discussion of academic papers, but they provide good access to some interesting research findings.
引用
收藏
页码:197 / 208
页数:12
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